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<title>0.1 About This Book - Hello Algo</title>
<title>0.1 About this book - Hello Algo</title>
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<span class="md-ellipsis">
0.1 About This Book
0.1 About this book
</span>
</div>
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<li class="md-select__item">
<a href="/" hreflang="zh" class="md-select__link">
中文
简体中文
</a>
</li>
<li class="md-select__item">
<a href="/zh-hant/" hreflang="zh-Hant" class="md-select__link">
繁體中文
</a>
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<span class="md-ellipsis">
0.1 About This Book
0.1 About this book
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<span class="md-ellipsis">
0.1 About This Book
0.1 About this book
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<a href="#011-target-audience" class="md-nav__link">
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0.1.1 &nbsp; Target Audience
0.1.1 &nbsp; Target audience
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</a>
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<a href="#012-content-structure" class="md-nav__link">
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0.1.2 &nbsp; Content Structure
0.1.2 &nbsp; Content structure
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<span class="md-ellipsis">
0.2 How to Read
0.2 How to read
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<span class="md-ellipsis">
Chapter 1. Introduction to Algorithms
Chapter 1. Introduction to algorithms
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Chapter 1. Introduction to Algorithms
Chapter 1. Introduction to algorithms
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1.1 Algorithms are Everywhere
1.1 Algorithms are everywhere
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1.2 What is an Algorithm
1.2 What is an algorithm
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Chapter 2. Complexity Analysis
Chapter 2. Complexity analysis
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Chapter 2. Complexity Analysis
Chapter 2. Complexity analysis
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2.1 Algorithm Efficiency Assessment
2.1 Algorithm efficiency assessment
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2.2 Iteration and Recursion
2.2 Iteration and recursion
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<span class="md-ellipsis">
2.3 Time Complexity
2.3 Time complexity
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2.4 Space Complexity
2.4 Space complexity
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<span class="md-ellipsis">
Chapter 3. Data Structures
Chapter 3. Data structures
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Chapter 3. Data Structures
Chapter 3. Data structures
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3.1 Classification of Data Structures
3.1 Classification of data structures
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3.2 Fundamental Data Types
3.2 Fundamental data types
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3.3 Number Encoding *
3.3 Number encoding *
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3.4 Character Encoding *
3.4 Character encoding *
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Chapter 4. Array and Linked List
Chapter 4. Array and linked list
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Chapter 4. Array and Linked List
Chapter 4. Array and linked list
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4.2 Linked List
4.2 Linked list
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4.4 Memory and Cache
4.4 Memory and cache
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Chapter 5. Stack and Queue
Chapter 5. Stack and queue
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Chapter 5. Stack and Queue
Chapter 5. Stack and queue
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5.3 Double-ended Queue
5.3 Double-ended queue
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Chapter 6. Hash Table
Chapter 6. Hash table
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Chapter 6. Hash Table
Chapter 6. Hash table
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6.1 Hash Table
6.1 Hash table
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6.2 Hash Collision
6.2 Hash collision
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6.3 Hash Algorithm
6.3 Hash algorithm
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<a href="#011-target-audience" class="md-nav__link">
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0.1.1 &nbsp; Target Audience
0.1.1 &nbsp; Target audience
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<a href="#012-content-structure" class="md-nav__link">
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0.1.2 &nbsp; Content Structure
0.1.2 &nbsp; Content structure
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<!-- Page content -->
<h1 id="01-about-this-book">0.1 &nbsp; About This Book<a class="headerlink" href="#01-about-this-book" title="Permanent link">&para;</a></h1>
<h1 id="01-about-this-book">0.1 &nbsp; About this book<a class="headerlink" href="#01-about-this-book" title="Permanent link">&para;</a></h1>
<p>This open-source project aims to create a free, and beginner-friendly crash course on data structures and algorithms.</p>
<ul>
<li>Using animated illustrations, it delivers structured insights into data structures and algorithmic concepts, ensuring comprehensibility and a smooth learning curve.</li>
<li>Run code with just one click, supporting Java, C++, Python, Go, JS, TS, C#, Swift, Rust, Dart, Zig and other languages.</li>
<li>Readers are encouraged to engage with each other in the discussion area for each section, questions and comments are usually answered within two days.</li>
</ul>
<h2 id="011-target-audience">0.1.1 &nbsp; Target Audience<a class="headerlink" href="#011-target-audience" title="Permanent link">&para;</a></h2>
<h2 id="011-target-audience">0.1.1 &nbsp; Target audience<a class="headerlink" href="#011-target-audience" title="Permanent link">&para;</a></h2>
<p>If you are new to algorithms with limited exposure, or you have accumulated some experience in algorithms, but you only have a vague understanding of data structures and algorithms, and you are constantly jumping between "yep" and "hmm", then this book is for you!</p>
<p>If you have already accumulated a certain amount of problem-solving experience, and are familiar with most types of problems, then this book can help you review and organize your algorithm knowledge system. The repository's source code can be used as a "problem-solving toolkit" or an "algorithm cheat sheet".</p>
<p>If you are an algorithm expert, we look forward to receiving your valuable suggestions, or <a href="https://www.hello-algo.com/chapter_appendix/contribution/">join us and collaborate</a>.</p>
@@ -2103,15 +2109,15 @@
<p class="admonition-title">Prerequisites</p>
<p>You should know how to write and read simple code in at least one programming language.</p>
</div>
<h2 id="012-content-structure">0.1.2 &nbsp; Content Structure<a class="headerlink" href="#012-content-structure" title="Permanent link">&para;</a></h2>
<h2 id="012-content-structure">0.1.2 &nbsp; Content structure<a class="headerlink" href="#012-content-structure" title="Permanent link">&para;</a></h2>
<p>The main content of the book is shown in the following figure.</p>
<ul>
<li><strong>Complexity Analysis</strong>: explores aspects and methods for evaluating data structures and algorithms. Covers methods of deriving time complexity and space complexity, along with common types and examples.</li>
<li><strong>Data Structures</strong>: focuses on fundamental data types, classification methods, definitions, pros and cons, common operations, types, applications, and implementation methods of data structures such as array, linked list, stack, queue, hash table, tree, heap, graph, etc.</li>
<li><strong>Complexity analysis</strong>: explores aspects and methods for evaluating data structures and algorithms. Covers methods of deriving time complexity and space complexity, along with common types and examples.</li>
<li><strong>Data structures</strong>: focuses on fundamental data types, classification methods, definitions, pros and cons, common operations, types, applications, and implementation methods of data structures such as array, linked list, stack, queue, hash table, tree, heap, graph, etc.</li>
<li><strong>Algorithms</strong>: defines algorithms, discusses their pros and cons, efficiency, application scenarios, problem-solving steps, and includes sample questions for various algorithms such as search, sorting, divide and conquer, backtracking, dynamic programming, greedy algorithms, and more.</li>
</ul>
<p><a class="glightbox" href="../about_the_book.assets/hello_algo_mindmap.png" data-type="image" data-width="100%" data-height="auto" data-desc-position="bottom"><img alt="Main Content of the Book" class="animation-figure" src="../about_the_book.assets/hello_algo_mindmap.png" /></a></p>
<p align="center"> Figure 0-1 &nbsp; Main Content of the Book </p>
<p><a class="glightbox" href="../about_the_book.assets/hello_algo_mindmap.png" data-type="image" data-width="100%" data-height="auto" data-desc-position="bottom"><img alt="Main content of the book" class="animation-figure" src="../about_the_book.assets/hello_algo_mindmap.png" /></a></p>
<p align="center"> Figure 0-1 &nbsp; Main content of the book </p>
<h2 id="013-acknowledgements">0.1.3 &nbsp; Acknowledgements<a class="headerlink" href="#013-acknowledgements" title="Permanent link">&para;</a></h2>
<p>This book is continuously improved with the joint efforts of many contributors from the open-source community. Thanks to each writer who invested their time and energy, listed in the order generated by GitHub: krahets, codingonion, nuomi1, Gonglja, Reanon, justin-tse, danielsss, hpstory, S-N-O-R-L-A-X, night-cruise, msk397, gvenusleo, RiverTwilight, gyt95, zhuoqinyue, Zuoxun, Xia-Sang, mingXta, FangYuan33, GN-Yu, IsChristina, xBLACKICEx, guowei-gong, Cathay-Chen, mgisr, JoseHung, qualifier1024, pengchzn, Guanngxu, longsizhuo, L-Super, what-is-me, yuan0221, lhxsm, Slone123c, WSL0809, longranger2, theNefelibatas, xiongsp, JeffersonHuang, hongyun-robot, K3v123, yuelinxin, a16su, gaofer, malone6, Wonderdch, xjr7670, DullSword, Horbin-Magician, NI-SW, reeswell, XC-Zero, XiaChuerwu, yd-j, iron-irax, huawuque404, MolDuM, Nigh, KorsChen, foursevenlove, 52coder, bubble9um, youshaoXG, curly210102, gltianwen, fanchenggang, Transmigration-zhou, FloranceYeh, FreddieLi, ShiMaRing, lipusheng, Javesun99, JackYang-hellobobo, shanghai-Jerry, 0130w, Keynman, psychelzh, logan-qiu, ZnYang2018, MwumLi, 1ch0, Phoenix0415, qingpeng9802, Richard-Zhang1019, QiLOL, Suremotoo, Turing-1024-Lee, Evilrabbit520, GaochaoZhu, ZJKung, linzeyan, hezhizhen, ZongYangL, beintentional, czruby, coderlef, dshlstarr, szu17dmy, fbigm, gledfish, hts0000, boloboloda, iStig, jiaxianhua, wenjianmin, keshida, kilikilikid, lclc6, lwbaptx, liuxjerry, lucaswangdev, lyl625760, chadyi, noobcodemaker, selear, siqyka, syd168, 4yDX3906, tao363, wangwang105, weibk, yabo083, yi427, yishangzhang, zhouLion, baagod, ElaBosak233, xb534, luluxia, yanedie, thomasq0, YangXuanyi and th1nk3r-ing.</p>
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